Machine-Learning-Tokyo / Interactive_ToolsLinks
Interactive Tools for Machine Learning, Deep Learning and Math
☆2,785Updated last year
Alternatives and similar repositories for Interactive_Tools
Users that are interested in Interactive_Tools are comparing it to the libraries listed below
Sorting:
- Machine Learning Notebooks☆3,412Updated last year
- This repo contains annotated research papers that I found really good and useful☆2,754Updated last month
- 🧠 A study guide to learn about Transformers☆1,613Updated 2 years ago
- Teaching materials for the applied machine learning course at Cornell Tech (online edition)☆1,166Updated 3 years ago
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,870Updated 2 years ago
- This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and b…☆1,370Updated 9 months ago
- 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo☆1,771Updated 11 months ago
- Pen and paper exercises in machine learning☆2,512Updated last year
- A curated list of articles that cover the software engineering best practices for building machine learning applications.☆1,317Updated last year
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,208Updated last year
- 🔥 A collection of PyTorch notebooks for learning and practicing deep learning☆583Updated 2 years ago
- Research papers with annotations, illustrations and explanations☆831Updated 4 years ago
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.☆1,186Updated 2 years ago
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,527Updated 4 months ago
- Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.☆2,554Updated 4 years ago
- Awesome free machine learning and AI courses with video lectures.☆3,017Updated 10 months ago
- Machine learning glossary☆3,095Updated last year
- VIP cheatsheets for Stanford's CS 221 Artificial Intelligence☆2,829Updated 5 years ago
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,704Updated last year
- ☆346Updated 5 years ago
- Full Stack Deep Learning Online Course☆906Updated 4 years ago
- Data science interview questions and answers☆9,567Updated last month
- Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources o…☆1,596Updated last week
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,405Updated last year
- 50 scikit-learn tips☆1,738Updated 3 years ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆788Updated 5 years ago
- AI-related tutorials. Access any of them for free → https://towardsai.net/editorial☆1,010Updated last year
- A curated list of references for MLOps☆13,382Updated 11 months ago
- GitHub Repo with various ML/AI/DS resources that I find useful☆465Updated last year
- ☆1,463Updated 3 years ago